Laszlo Gyermek
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Physiology top 10%
- Pharmacology top 5%
- Organic Chemistry top 10%
- Co-authors
- Lester F. SoykaChingmuh LeeE.B. SiggL. J. SofferPierre CrabbéJosé IriarteTokio YamaguchiSachiko Kawasaki‐Yatsugi
- Topics
- Neuroscience and Neuropharmacology Research (19 papers)Anesthesia and Sedative Agents (18 papers)Pain Mechanisms and Treatments (14 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Laszlo Gyermek
90 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Cellular and Molecular Neuroscience 457
- Molecular Biology 455
- Physiology 240
- Pharmacology 174
- Organic Chemistry 164
Countries citing papers authored by Laszlo Gyermek
This map shows the geographic impact of Laszlo Gyermek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laszlo Gyermek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laszlo Gyermek more than expected).
Fields of papers citing papers by Laszlo Gyermek
This network shows the impact of papers produced by Laszlo Gyermek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laszlo Gyermek. The network helps show where Laszlo Gyermek may publish in the future.
Co-authorship network of co-authors of Laszlo Gyermek
This figure shows the co-authorship network connecting the top 25 collaborators of Laszlo Gyermek. A scholar is included among the top collaborators of Laszlo Gyermek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laszlo Gyermek. Laszlo Gyermek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | Ultra-short acting neuromuscular blocking agents; di- and tri-substituted benzyl bisquaternary ammonium derivatives of bis(tropan-3alpha-ol)-diesters | 3 |
| 4 | 16 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 18 | |
| 8 | 23 | |
| 9 | 20 | |
| 10 | 22 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 43 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | Clinical pharmacology of the reversal of neuromuscular block. | 3 |
| 17 | 90 | |
| 18 | Spectrum of action of muscarone and its derivatives. | 4 |
| 19 | 2 | |
| 20 | The adrenolytic activity of tryptamine and related compounds on isolated organs. | 1 |
About Laszlo Gyermek
Laszlo Gyermek is a scholar working on Anesthesiology and Pain Medicine, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 96 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Anesthesia and Sedative Agents (18 papers) and Pain Mechanisms and Treatments (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (457 citations), Behavioral Neuroscience (89 citations) and Anesthesiology and Pain Medicine (139 citations). Laszlo Gyermek has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Lester F. Soyka, Chingmuh Lee, E.B. Sigg, L. J. Soffer, Pierre Crabbé, José Iriarte, Tokio Yamaguchi, Sachiko Kawasaki‐Yatsugi, Tomoki Nishiyama and Mark L. Trudell. Their work appears in journals such as Nature, The Lancet and Pharmacological Reviews.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.